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Gemma 4 31B vs MiniMax M2.5

Gemma 4 31B leads MiniMax M2.5 on coding, 39.0 to 37.2 on the Vibe Coding Index, and Gemma 4 31B costs 3.0x less per output token ($0.40 vs $1.20 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace Gemma 4 31B Replace MiniMax M2.5
Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
31
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
8
vs boards won of 39 shared

Gemma 4 31B or MiniMax M2.5: which to pick

Gemma 4 31B and MiniMax M2.5 are level for coding, 39.0 against 37.2 on the Vibe Coding Index, so price and context decide.

Pick MiniMax M2.5 for work measured by LMArena WebDev or LMArena WebDev: React, where it leads. Pick Gemma 4 31B for output tokens 3.0x cheaper ($0.40 vs $1.20 per million) and a larger context window (262K against 205K tokens).

Model AGemma 4 31BGoogle39.0/1002 independent benchmarksNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
39
Gemma 4 31B only
32
MiniMax M2.5 only
29
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemma 4 31B 39.0 from 2 benchmarks, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 29.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 4 31B 65.5% against MiniMax M2.5 95.3%, 29.8 points apart on a 0 to 100 scale.
Output price
Gemma 4 31B $0.40 against MiniMax M2.5 $1.20 per million output tokens, 3.0x apart.
Context window
Gemma 4 31B takes 262K tokens, MiniMax M2.5 205K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemma 4 31BBarsMiniMax M2.5Ties
Coding43
Intelligence02
Agentic work01
Reasoning60
Math20
Knowledge41
General151
All shared boards318
CodingLike-for-likeSix of these boards feed the Vibe Coding Index43
Coding benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LiveBench coding49.0%Not measuredOnly Gemma 4 31B measured
LMArena WebDev13671386MiniMax M2.5
AA Coding Index43.4Not measuredOnly Gemma 4 31B measured
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Vibe Code Bench (Vals AI)Not measured14.8%Only MiniMax M2.5 measured
SciCode45.5%Not measuredOnly Gemma 4 31B measured
Terminal-Bench Hard (Artificial Analysis run)36.4%34.8%Gemma 4 31B
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
WeirdML52.3%Not measuredOnly Gemma 4 31B measured
ALE-Bench925.5618.2Gemma 4 31B
LMArena Text: coding14591380Gemma 4 31B
LMArena Text: software and IT14631383Gemma 4 31B
LMArena WebDev: React13591374MiniMax M2.5
LMArena WebDev: HTML13801414MiniMax M2.5
SciCode8.9%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
AA Intelligence Index14.722.8MiniMax M2.5
Epoch Capabilities Index143.0146.6MiniMax M2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
AA Agentic Index4.2Not measuredOnly Gemma 4 31B measured
LiveBench research44.4%Not measuredOnly Gemma 4 31B measured
LiveBench browser4.0%Not measuredOnly Gemma 4 31B measured
LiveBench long agentic13.3%Not measuredOnly Gemma 4 31B measured
τ²-Bench Telecom65.5%95.3%MiniMax M2.5
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
LiveBench reasoning68.3%Not measuredOnly Gemma 4 31B measured
GPQA Diamond (Artificial Analysis run)85.7%84.8%Gemma 4 31B
Humanity's Last Exam (Artificial Analysis run)23.6%20.5%Gemma 4 31B
GPQA Diamond (Epoch AI run)75.8%Not measuredOnly Gemma 4 31B measured
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
LMArena Text: hard prompts14481372Gemma 4 31B
LMArena Text: expert14641378Gemma 4 31B
LMArena Text: hard prompts in English14561384Gemma 4 31B
LMArena Vision: diagrams1283Not measuredOnly Gemma 4 31B measured
LMArena Vision: homework1310Not measuredOnly Gemma 4 31B measured
Kagi LLM Benchmark63.5%55.2%Gemma 4 31B
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
OTIS Mock AIME73.3%Not measuredOnly Gemma 4 31B measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
LMArena Text: math14631378Gemma 4 31B
LMArena Text: mathematical work14651378Gemma 4 31B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)52.6%53.5%MiniMax M2.5
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)Not measured68.2%Only MiniMax M2.5 measured
MortgageTax (Vals AI)61.4%Not measuredOnly Gemma 4 31B measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
SimpleQA Verified10.4%Not measuredOnly Gemma 4 31B measured
LMArena Text: science14571369Gemma 4 31B
LMArena Text: medicine and healthcare14511357Gemma 4 31B
LMArena Text: legal and government14381366Gemma 4 31B
LMArena Text: business and finance14301356Gemma 4 31B
FACTS Benchmark Suite45.3%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
Design Arena: websitesNot measured1222Only MiniMax M2.5 measured
Design Arena: UI componentsNot measured1173Only MiniMax M2.5 measured
Design Arena: game devNot measured1176Only MiniMax M2.5 measured
Design Arena: data vizNot measured1172Only MiniMax M2.5 measured
Design Arena: 3DNot measured1170Only MiniMax M2.5 measured
Design Arena: all code categoriesNot measured1207Only MiniMax M2.5 measured
Design Arena: SVGNot measured1150Only MiniMax M2.5 measured
LiveBench design58.4%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index151
General benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
LiveBench data analysis53.3%Not measuredOnly Gemma 4 31B measured
SAGE (Vals AI)55.0%Not measuredOnly Gemma 4 31B measured
IFBench75.6%71.6%Gemma 4 31B
Long context reasoning (AA-LCR)69.7%73.3%MiniMax M2.5
DTBench82.7%Not measuredOnly Gemma 4 31B measured
LMCA39.3%Not measuredOnly Gemma 4 31B measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
Surface Evolver Bench30.6%Not measuredOnly Gemma 4 31B measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14431359Gemma 4 31B
LMArena Text: instruction following14331353Gemma 4 31B
LMArena Text: creative writing14171331Gemma 4 31B
LMArena Vision1276Not measuredOnly Gemma 4 31B measured
LMArena Text: English14511380Gemma 4 31B
LMArena Text: non-English14301338Gemma 4 31B
LMArena Text: Chinese14751393Gemma 4 31B
LMArena Text: GermanNot measured1361Only MiniMax M2.5 measured
LMArena Text: JapaneseNot measured1171Only MiniMax M2.5 measured
LMArena Text: KoreanNot measured1233Only MiniMax M2.5 measured
LMArena Text: French14361363Gemma 4 31B
LMArena Text: Spanish14421353Gemma 4 31B
LMArena Text: Russian14601359Gemma 4 31B
LMArena Text: Polish14331334Gemma 4 31B
LMArena Text: multi-turn14521364Gemma 4 31B
LMArena Text: longer queries14461366Gemma 4 31B
LMArena Text: writing and language14321345Gemma 4 31B
LMArena Text: entertainment and media14051329Gemma 4 31B
LMArena Vision: English1271Not measuredOnly Gemma 4 31B measured
LMArena Vision: Chinese1326Not measuredOnly Gemma 4 31B measured
LMArena Vision: reading text1282Not measuredOnly Gemma 4 31B measured
LMArena Vision: humor1280Not measuredOnly Gemma 4 31B measured
LMArena Vision: captioning1218Not measuredOnly Gemma 4 31B measured
LMArena Vision: recognizing things1226Not measuredOnly Gemma 4 31B measured
LMArena Vision: creative writing1285Not measuredOnly Gemma 4 31B measured
LMArena Document1425Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 31B and MiniMax M2.5
BenchmarkGemma 4 31BMiniMax M2.5Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemma 4 31B$0.0003Fits in one request
MiniMax M2.5$0.0009Fits in one request

Gemma 4 31B costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits in one request
MiniMax M2.5$0.019Fits in one request

Gemma 4 31B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request
MiniMax M2.5$0.072Exceeds the context window

Gemma 4 31B costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemma 4 31B and MiniMax M2.5
SpecificationGoogle Gemma 4 31BMiniMax M2.5
MakerGoogleMiniMax
WeightsOpen weightsOpen weights
ReleasedApril 2, 2026February 12, 2026
Context window262K205K
Input $/Mtok$0.14$0.30
Output $/Mtok$0.40$1.20
Coding index39.037.2
Independent measurements behind it23
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than MiniMax M2.5 for coding?

Gemma 4 31B and MiniMax M2.5 are level for coding, 39.0 against 37.2 on the Vibe Coding Index, so price and context decide. Pick MiniMax M2.5 for work measured by LMArena WebDev or LMArena WebDev: React, where it leads. Pick Gemma 4 31B for output tokens 3.0x cheaper ($0.40 vs $1.20 per million) and a larger context window (262K against 205K tokens).

Which is cheaper, Gemma 4 31B or MiniMax M2.5?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, Gemma 4 31B or MiniMax M2.5?

Gemma 4 31B, with 262K tokens against 205K.

How many benchmarks is the Gemma 4 31B vs MiniMax M2.5 comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and MiniMax M2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemma-4-31b-it-vs-minimax-minimax-m2-5">LLMBenchmark.ai, Gemma 4 31B vs MiniMax M2.5</a></p>